A new NPID (Nonlinear Proportional-IntegralDifferential) control algorithm is applied to a class of truck ABS (Anti-lock Brake System) problems. The NPID algorithm combines the advantages of robust control and easy tuning. Simulation results at various situations using TruckSim show that NPID controller has shorter stopping distance and better velocity performance than the conventional PID cont...

Advancements have been made in the field of vehicle dynamics, improving handling and safety through control systems such as Antilock Braking System (ABS). An ABS enhances braking performance steerability a under severe conditions by preventing wheel lockup. However, its degrades on rough terrain resulting an increased lockup stopping distance compared to without. This is largely result noisy me...

A novel model based scheme for the state estimation during anti-lock braking is presented based on a LuGre tyre model and a quarter car model. The wheel angular speed and longitudinal vehicle acceleration information are used to design a nonlinear observer based on the unscented Kalman filter theory. This nonlinear observer provides the necessary information for the anti-lock control despite th...

Regenerative braking is an effective approach for electric vehicles (EVs) to extend their driving range. A fuzzy-logic-based regenerative braking strategy (RBS) integrated with series regenerative braking is developed in this paper to advance the level of energy-savings. From the viewpoint of securing car stability in braking operations, the braking force distribution between the front and rear...